MAPPING OF THE SEAGRASS COVER ALONG THE MEDITERRANEAN COAST OF TURKEY USING LANDSAT 8 OLI IMAGES
Autor: | I. Tuney, Mustafa Umit Gumusay, Tolga Bakirman |
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Přispěvatelé: | Ege Üniversitesi, Halounova, L, Safar, V, Raju, PLN, Planka, L, Zdimal, V, Kumar, TS, Faruque, FS, Kerr, Y, Ramasamy, SM, Comiso, J, Hussin, YA, Thenkabail, PS, Lavender, S, Skidmore, A, Yue, P, Patias, P, Altan, O, Weng, Q |
Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
0106 biological sciences
Mediterranean climate Landsat 8 lcsh:Applied optics. Photonics 010504 meteorology & atmospheric sciences Image classification Biodiversity 01 natural sciences lcsh:Technology Environmental data Ecosystem Seabed Seagrass 0105 earth and related environmental sciences biology lcsh:T 010604 marine biology & hydrobiology lcsh:TA1501-1820 Remote sensing biology.organism_classification Oceanography Geography Habitat Benthic zone lcsh:TA1-2040 Cover lcsh:Engineering (General). Civil engineering (General) |
Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B8, Pp 1103-1105 (2016) |
ISSN: | 2194-9034 1682-1750 |
Popis: | 23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS) -- JUL 12-19, 2016 -- Prague, CZECH REPUBLIC WOS: 000393156000185 Benthic habitat is defined as ecological environment where marine animals, plants and other organisms live in. Benthic habitat mapping is defined as plotting the distribution and extent of habitats to create a map with complete coverage of the seabed showing distinct boundaries separating adjacent habitats or the use of spatially continuous environmental data sets to represent and predict biological patterns on the seafloor. Seagrass is an essential endemic marine species that prevents coast erosion and regulates carbon dioxide absorption in both undersea and atmosphere. Fishing, mining, pollution and other human activities cause serious damage to seabed ecosystems and reduce benthic biodiversity. According to the latest studies, only 5-10% of the seafloor is mapped, therefore it is not possible to manage resources effectively, protect ecologically important areas. In this study, it is aimed to map seagrass cover using Landsat 8 OLI images in the northern part of Mediterranean coast of Turkey. After pre-processing (e.g. radiometric, atmospheric, water depth correction) of Landsat images, coverage maps are produced with supervised classification using in-situ data which are underwater photos and videos. Result maps and accuracy assessment are presented and discussed. Int Soc Photogrammetry & Remote Sensing |
Databáze: | OpenAIRE |
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